ADAPTIVE LIFESTYLE METRIC ESTIMATION
First Claim
1. A wearable electronic device comprising:
- a processor; and
a sensor system providing inputs to the processor, the sensor system including a first sensor and a second sensor, the first sensor being a high power sensor that consumes a greater amount of power when in operation than the second sensor, which is a low power sensor;
wherein the processor is configured to operate in a high power mode in which both sensors are operational and a low power mode in which the low power sensor is operational and the high power sensor is not operational;
wherein, in the high power mode, the processor is configured to compute a lifestyle metric about a user for a first time period based on first data from the high power sensor; and
wherein, in the low power mode, the processor is configured to compute the lifestyle metric for a second time period based on;
second data from the low power sensor; and
the first data and/or a derivative of the first data.
3 Assignments
0 Petitions
Accused Products
Abstract
Systems and methods for estimating lifestyle metrics with a wearable electronic device are disclosed herein. One disclosed system may include the wearable electronic device comprising a processor and a sensor system providing inputs to the processor. The sensor system may include a high power sensor and a low power sensor. The processor may operate in a high power mode in which both sensors are operational and a low power mode in which the high power sensor is not operational. In the high power mode, the processor may compute a lifestyle metric about a user for a first time period based on first data from the high power sensor. In the low power mode, the processor may compute the lifestyle metric for a second time period based on second data from the low power sensor and the first data and/or a derivative of the first data.
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Citations
20 Claims
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1. A wearable electronic device comprising:
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a processor; and a sensor system providing inputs to the processor, the sensor system including a first sensor and a second sensor, the first sensor being a high power sensor that consumes a greater amount of power when in operation than the second sensor, which is a low power sensor; wherein the processor is configured to operate in a high power mode in which both sensors are operational and a low power mode in which the low power sensor is operational and the high power sensor is not operational; wherein, in the high power mode, the processor is configured to compute a lifestyle metric about a user for a first time period based on first data from the high power sensor; and wherein, in the low power mode, the processor is configured to compute the lifestyle metric for a second time period based on; second data from the low power sensor; and the first data and/or a derivative of the first data. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method for estimating lifestyle metrics with a wearable electronic device, the method comprising:
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operating in a high power mode in which a first sensor and a second sensor are operational, the first sensor being a high power sensor that consumes a greater amount of power when in operation than the second sensor, which is a low power sensor; in the high power mode, computing a lifestyle metric about a user for a first time period based on first data from the high power sensor; operating in a low power mode in which the high power sensor is not operational and the low power sensor is operational; and in the low power mode, computing the lifestyle metric for a second time period based on; second data from the low power sensor; and the first data and/or a derivative of the first data. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19)
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20. A wearable electronic device comprising:
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a processor, a sensor system providing inputs to the processor, the sensor system including a first sensor and a second sensor, the first sensor being a high power sensor that consumes a greater amount of power when in operation than the second sensor, which is a low power sensor, wherein the high power sensor is a global positioning system (GPS) receiver and the low power sensor is an accelerometer; and a band wearable on a wrist of a user; wherein the processor is configured to operate in a high power mode in which both sensors are operational and a low power mode in which the low power sensor is operational and the high power sensor is not operational;
whereinin the high power mode, the processor is configured to compute a lifestyle metric about the user for a first time period based on first data from the high power sensor; and in the low power mode, the processor is configured to compute the lifestyle metric for a second time period based on; second data from the low power sensor; and the first data and/or a derivative of the first data.
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Specification